Metrika članka

  • citati u SCindeksu: 0
  • citati u CrossRef-u:[1]
  • citati u Google Scholaru:[=>]
  • posete u poslednjih 30 dana:4
  • preuzimanja u poslednjih 30 dana:2
članak: 6 od 23  
Back povratak na rezultate
Journal of Applied Engineering Science
2019, vol. 17, br. 3, str. 295-303
jezik rada: engleski
vrsta rada: izvorni naučni članak
objavljeno: 10/10/2019
doi: 10.5937/jaes17-22032
Creative Commons License 4.0
Engineering method of fault-tolerant system simulations
(naslov ne postoji na srpskom)
aTula State University, Russia
bTula State Lev Tolstoy Pedagogical University, Russia



(ne postoji na srpskom)
Autonomous fault-tolerant systems, operated at hard environment, are considered in this paper. It is shown that common method of units failure compensation, based on an introduction to the system a structural redundancy, leads to the increase of weight/size factor and energy consumption, but sometime does not prolongs its lifetime. The new approach to fault/recovery process modeling, based on use of fundamental apparatus of parallel semi-Markov process, in which ordinary processes simulate the life-cycle of individual units, and the complex process, assembled from ordinary processes, simulates reliability system as a whole, is proposed. Dependences for calculation of time intervals and probabilities of wandering through ordinary semi-Markov processes, with use of the recursive method are obtained. It is shown, that when there is rather complex model of unit life-cycle, semi-Markov process would be replaced with more coarse Markov process. Notions of complex semi-Markov process, such as functional states and semi-Markov matrices Cartesian product are introduced. Theoretical results obtained are confi rmed by the practical calculation of the reliability indicators of the system with passive redundancy.

Ključne reči

fault-tolerance; semi-Markov process; structural and functional states


Åström, K.J., Wittenmark, B. (2002) Computer controlled systems: Theory and design. Englewood Cliffs, NJ: Tsinghua University Press, pp. 557
Bielecki, T.R., Jakubowski, J., Niewęgłowski, M. (2017) Conditional Markov chains: Properties, construction and structured dependence. Stochastic Processes and their Applications, 127(4): 1125-1170
Ching, W.K., Huang, X., Ng, M.K., Siu, T.K. (2013) Markov Chains: Models, Algorithms and Applications. u: International Series in Operations Research & Management Science, NY: Springer Science, 189: 241-241
Du, R., Ai, S., Hu, Q. (2009) Competition and cooperation between brands in a segment: An analysis based on a semi-Markov model. International Journal of Services Sciences, 2(1): 70-70
Dubrova, E. (2013) Fault-Tolerant Design. New York: Springer Science
Eisentraut, C., Hermanns, H., Zhang, L. (2010) Concurrency and Composition in a Stochastic World. u: 21th International conference 'CONCUR 2010: Concurrency Theory', Proceedings of, 21-39
Gao, Z., Ding, S.X., Cecati, C. (2015) Real-time fault diagnosis and fault-tolerant control. IEEE Transactions on Industrial Electronics, 62(6): 3752-3756
Grigelionis, B. (1963) On the Convergence of Sums of Random Step Processes to a Poisson Process. Theory of Probability & Its Applications, 8(2): 177-182
Howard, R.A. (2012) Dynamic Probabilistic Systems. Vol. 1: Markov Models. Vol. II: Semi-Markov and Decision Processes. Courier Corporation
Ivutin, A.N., Larkin, E.V. (2015) Simulation of Concurrent Games. Bulletin of the South Ural State University. Series: Mathematical Modeling, Programming and Computer Software, Chelyabinsk, 8(2): 43-54
Janssen, J., Manca, R. (2006) Applied Semi-Markov processes. US: Springer, 310-310
Jiang, Q., Xi, H.S., Yin, B.Q. (2012) Event-driven semi-Markov switching state-space control processes. IET Control Theory & Applications, 6(12): 1861-1869
Jing, Y.H., Yang, G.H. (2019) Fuzzy adaptive fault-tolerant control for uncertain nonlinear systems with unknown dead-zone and unmodeled dynamics. IEEE Transactions on Fuzzy Systems, 1-1
Kobayashi, H., Mark, B.L., Turin, W. (2012) Probability, Random Processes, and Statistical Analysis. Cambridge University Press, 812-812
Koren, I., Krishna, M.C. (2007) Fault-Tolerant Networks. San Francisco, CA: Morgan Kaufmann Publishers, pp. 40
Landau, I.D., Zito, G. (2006) Digital Control Systems: Design, Identification and Implementation. Springer, 484
Larkin, E.V., Kotov, V.V., Ivutin, A.N., Privalov, A.N. (2016) Simulation of Relay-Races. Bulletin of the South Ural State University: Mathematical Modelling, Programming & Computer Software, 9(4): 117-128
Larkin, E., Ivutin, A., Esikov, D. (2016) Recursive Approach for Evaluation of Time Intervals between Transactions in Polling Procedure. u: 8th International Conference on Computer and Automation Engineering (ICCAE 2016) (Melbourne, Australia, MATEC Web of Conferences, 2016), 56: 01004-01004
Lu, H., Pang, G., Mandjes, M. (2016) A functional central limit theorem for Markov additive arrival processes and its applications to queueing systems. Queueing Systems, 84(3-4): 381-406
Malik, S.C., Rathee, R. (2016) Reliability modelling of a parallel system with maximum operation and repair times. International Journal of Operational Research, 25(1): 131-131
o'Conner P., Kleyner, A. (2012) Practical Reliability Engineering. Willey and Sons, 456-456
Petersen, P. (2012) Linear algebra. New York: Springer-Verlag, pp. 427
Qin, J., Ma, Q., Gao, H., Zheng, W.X. (2017) Fault-tolerant cooperative tracking control via integral sliding mode control technique. IEEE/ASME Transactions on Mechatronics, 23(1): 342-351
Rousand, M. (2014) Reliability of Safety-Critical Systems: Theory and Applications. John Wiley & Sons, Inc, 165-174
Sánchez-Silva, M., Klutke, G. (2016) Reliability and Life-Cycle Analysis of Deteriorating Systems. Switzerland: Springer International Publishing, 355-355
Simani, S., Alvisi, S., Venturini, M. (2016) Fault tolerant control of a simulated hydroelectric system. Control Engineering Practice, 51: 13-25
Smith, M.D.J., Simpson, K.G. (2011) Safety Critical Systems Handbook. NY: Elsevier Ltd, 270
Sony, M., Mariappan, V., Kamat, V. (2011) Stochastic modelling of failure interaction: Markov model versus discrete event simulation. International Journal of Advanced Operations Management, 3(1): 1-1
Tzafestas, S.G. (2014) Introduction to Mobile Robot Control. Elsevier, 750-750
Yang, T., Zhang, L., Yin, X. (2016) Time-varying gain-scheduling σ-error mean square stabilisation of semi-Markov jump linear systems. IET Control Theory & Applications, 10(11): 1215-1223
Zhang, Y., Jiang, J. (2008) Bibliographical review on reconfigurable fault-tolerant control systems. Annual Reviews in Control, 32(2): 229-252